Spatial variability of rainfall in urban catchment
Catchments; Rain; Rain gages; Runoff; Sewage; Systematic errors; ANOVA analysis; Boxplot analysis; Rainfall analysis; Spatial variability; Urban runoff; Hydrological modeling; Rapid urbanization process; Statistical differences; Statistically significant difference; Analysis of variance (ANOVA)
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Book Chapter |
Published: |
Springer
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-25040 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-250402023-05-29T15:30:52Z Spatial variability of rainfall in urban catchment Haris H. Chow M.F. Sidek L.M. 57191870496 57214146115 35070506500 Catchments; Rain; Rain gages; Runoff; Sewage; Systematic errors; ANOVA analysis; Boxplot analysis; Rainfall analysis; Spatial variability; Urban runoff; Hydrological modeling; Rapid urbanization process; Statistical differences; Statistically significant difference; Analysis of variance (ANOVA) The rapid urbanization process has created massive pressure on the environment and interrupted the water balance. In this research, Penchala River was chosen as the research area. Spatial variability of rainfall can lead to significant error in rainfall�runoff processes and hydrological modeling, specifically in the urban area. Thus, one-way analysis of variance (ANOVA) was used to determine whether there are any statistically significant differences between the means of rainfall data from selected rainfall stations. The yearly and monthly data of all eight rainfall stations during the period of the year, 2012�2015 was used for this analysis. The post hoc test was used to identified, in which rainfall station differed among each other during the study. The null hypothesis (no significant difference) is accepted, when the computed p value is more than 0.05. The results showed that there is no significant statistical difference in the rainfall data between the rain gauges of S1�S8 with the p-values 0.945 (2012), 0.954 (2013), 0.342 (2014), and 0.427 (2015). It can be concluded that none of the gauge used for the determination of rainfall dataset contained systematic errors. � Springer Nature Singapore Pte Ltd. 2019. Final 2023-05-29T07:30:52Z 2023-05-29T07:30:52Z 2019 Book Chapter 10.1007/978-981-10-8016-6_76 2-s2.0-85060334781 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060334781&doi=10.1007%2f978-981-10-8016-6_76&partnerID=40&md5=4dd54abd4d20083e988752a354e4d7b8 https://irepository.uniten.edu.my/handle/123456789/25040 9 1075 1086 Springer Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Catchments; Rain; Rain gages; Runoff; Sewage; Systematic errors; ANOVA analysis; Boxplot analysis; Rainfall analysis; Spatial variability; Urban runoff; Hydrological modeling; Rapid urbanization process; Statistical differences; Statistically significant difference; Analysis of variance (ANOVA) |
author2 |
57191870496 |
author_facet |
57191870496 Haris H. Chow M.F. Sidek L.M. |
format |
Book Chapter |
author |
Haris H. Chow M.F. Sidek L.M. |
spellingShingle |
Haris H. Chow M.F. Sidek L.M. Spatial variability of rainfall in urban catchment |
author_sort |
Haris H. |
title |
Spatial variability of rainfall in urban catchment |
title_short |
Spatial variability of rainfall in urban catchment |
title_full |
Spatial variability of rainfall in urban catchment |
title_fullStr |
Spatial variability of rainfall in urban catchment |
title_full_unstemmed |
Spatial variability of rainfall in urban catchment |
title_sort |
spatial variability of rainfall in urban catchment |
publisher |
Springer |
publishDate |
2023 |
_version_ |
1806427567908978688 |
score |
13.214268 |